{"id":6552,"date":"2024-04-04T10:24:43","date_gmt":"2024-04-04T10:24:43","guid":{"rendered":"https:\/\/www.inspirenignite.com\/kl\/4271-big-data-concepts-syllabus-for-cloud-computing-big-data-4th-sem-2021-revision-sitttr\/"},"modified":"2024-04-04T10:24:43","modified_gmt":"2024-04-04T10:24:43","slug":"4271-big-data-concepts-syllabus-for-cloud-computing-big-data-4th-sem-2021-revision-sitttr","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/kl\/4271-big-data-concepts-syllabus-for-cloud-computing-big-data-4th-sem-2021-revision-sitttr\/","title":{"rendered":"4271: Big Data Concepts Syllabus for Cloud Computing & Big Data 4th Sem 2021 Revision SITTTR"},"content":{"rendered":"

Big Data Concepts detailed syllabus for Cloud Computing & Big Data (CC) for 2021 revision curriculum has been taken from the SITTTRs<\/a> official website and presented for the Cloud Computing & Big Data students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below. <\/p>\n

For Cloud Computing & Big Data 4th Sem scheme and its subjects, do visit Cloud Computing & Big Data (CC) 4th Sem 2021 revision scheme<\/a>. The detailed syllabus of big data concepts is as follows. <\/p>\n

Course Objectives:<\/h4>\n

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
\"Get<\/a>. <\/p>\n

Course Outcomes:<\/h4>\n

On completion of the course, the student will be able to:<\/p>\n

    \n
  1. Summarize the concepts of Big Data<\/li>\n
  2. Explain the basic concepts in Big Data Analytics and NoSQL<\/li>\n
  3. Describe Map Reduce programming in Hadoop Environment<\/li>\n
  4. Outline the basic concepts of Hive and Pig<\/li>\n<\/ol>\n

    Module 1:<\/h4>\n

    Classification of Digital Data: Structured, Unstructured and Semi Structured
    \nBig Data: Characteristics of Data, Evolution of Big Data, Definition of Big Data,
    \nChallenges with Big Data, Need of big data
    \nCharacteristics of Big Data- Volume, Variety, Velocity, and other characteristics.
    \nApplications, Big data sources, Traditional Business Intelligence (BI) versus Big Data
    \nData Warehouse: Definition, Coexistence of Big Data and Data Warehouse.
    \nData Mining- Introduction, Data Mining Goals, Types of data, Steps to discover knowledge from data(Stages of the Data Mining Process), Data Mining Techniques, Knowledge Representation Methods
    \nData Preprocessing -Need of data preprocessing, data quality, data preprocessing methods- data cleaning, data integration, data reduction, data transformation
    \nData Visualization: Definition, Need for Visualization, List some tools used for
    \nVisualization\n<\/p>\n

    Module 2:<\/h4>\n

    For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
    It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
    \"Get<\/a>. <\/p>\n

    Module 3:<\/h4>\n

    Hadoop- Features of Hadoop, Key Advantages of Hadoop, Versions, Hadoop Distributions, Hadoop versus SQL, Integrated Hadoop Systems Offered by Leading Market Vendors, Cloud-Based Hadoop Solutions Advantages of Hadoop, RDBMS versus Hadoop , Distributed Computing Challenges, Overview of Hadoop Ecosystems and Hadoop Core Components, HDFS, Processing Data with Hadoop MapReduce Programming: Introduction, Mapper, Reducer, Combiner, Partitioner, Searching, Sorting, Compression.\n<\/p>\n

    Module 4:<\/h4>\n

    INTRODUCTION TO HIVE AND PIG Hive: Introduction – Architecture – Data Types – File Formats – Hive Query Language Statements – Partitions – Bucketing – Views – Sub- Query – Joins – Aggregations -Group by and Having – RCFile Implementation – Hive User Defined Function -Serialization and Deserialization (SERDE). Pig: Introduction – Anatomy – Features – Use Case for Pig – Pig Latin Overview – Pig Primitive Data Types – Running Pig – Execution Modes of Pig – HDFS Commands -Relational Operators – Eval Function – Complex Data Types – Piggy Bank – User-Defined Functions – Parameter Substitution – Diagnostic Operator – Word Count Example using Pig – Pig at Yahoo! – Pig Versus Hive\n<\/p>\n

    Text Books:<\/h4>\n

    For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
    It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
    \"Get<\/a>. <\/p>\n

    Reference Books:<\/h4>\n
      \n
    1. Jiawei Han,Champaign Micheline Kamber Jian Pei Simon Fraser ‘”Data Mining Concepts and Techniques Third Edition”<\/li>\n
    2. Frank J Ohlhorst, -Big Data and Analytics: Turning Big Data into Big Money, Wiley and SAS Business Series, 2012.<\/li>\n
    3. Tom White, – Hadoop: The Definitive Guide Third Edition, O’reily Media, 2012<\/li>\n
    4. EMC Education Services, Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data. John Wiley & Sons, 2015. Publishers – 2012.<\/li>\n
    5. Michael Minelli, Michele Chambers, Ambiga Dhiraj, “Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends”, John Wiley & Sons, 2013.<\/li>\n<\/ol>\n

      Online Resources<\/h4>\n

      For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
      It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
      \"Get<\/a>. <\/p>\n

      For detailed syllabus of all other subjects of Cloud Computing & Big Data (CC), 2021 revision curriculum do visit Cloud Computing & Big Data 4th Sem subject syllabuses for 2021 revision<\/a>. <\/p>\n

      To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus.<\/a>. <\/p>\n

      To see the results of Cloud Computing & Big Data (CC) of diploma 2021 revision curriculum do visit SITTTR diploma Cloud Computing & Big Data (CC) results.<\/a>. <\/p>\n

      For all Cloud Computing & Big Data academic calendars, visit Cloud Computing & Big Data all semesters academic calendar<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"

      Big Data Concepts detailed syllabus for Cloud Computing & Big Data (CC) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Cloud Computing […]<\/p>\n","protected":false},"author":2462,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[35,73],"tags":[],"class_list":["post-6552","post","type-post","status-publish","format-standard","hentry","category-4th-sem","category-cc"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts\/6552","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/users\/2462"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/comments?post=6552"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/posts\/6552\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/media?parent=6552"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/categories?post=6552"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/kl\/wp-json\/wp\/v2\/tags?post=6552"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}